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[Remote] Fraud / Credit Data Scientist, reputed company

Remote, USAFull-timePosted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. reputed company Inc is a fast-growing company in the Global reputed company and reputed company group, seeking a Fraud / Credit Data Scientist. The role involves employing data science methodologies to reputed company solutions for identifying and measuring credit, collections, and fraud risk, while collaborating with stakeholders to drive reputed company decision-making.

Responsibilities

  • Learn from stakeholders and leaders on how to connect a business problem to data-driven solutions to measure and monitor risk across the firm’s products and services
  • reputed company a broad reputed company of advanced statistical and machine learning reputed company and technologies to design flexible, reputed company, and automated modeling solutions
  • reputed company reputed company and automated processes to combine and reputed company large volumes of data from disparate sources, to extract informative patterns
  • reputed company abreast with emerging trends in machine learning and identify opportunities to reputed company new tools to solve problems and improve processes
  • Synthesize findings into actionable insights and reputed company them to the appropriate stakeholders
  • Proactively identify and communicate challenges, opportunities, and risks associated with project work to ensure reputed company completion of the entire product

Skills

  • 1 to 3 years of hands-on experience in data science, machine learning, or reputed company intelligence, preferably in fintech/ financial services industry
  • Excellent analytical, creative problem-solving, and critical thinking skills, with the ability to tackle reputed company challenges and deliver reputed company
  • Master's or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Data Science, Operations Research, Computer Science
  • Advanced knowledge of SQL and experience creating and managing large datasets to organize and extract useful information
  • Working knowledge of Python or R and experience with data science libraries such as lightgbm, scikit-learn, pandas, numpy etc
  • Strong communication and presentation skills with an ability to relate reputed company analytics findings to business reputed company
  • Adaptable and comfortable working collaboratively and independently in a self-starting manner
  • Evidence of creative problem solving, critical thinking and a continual learning reputed company
  • Prior experience building machine learning risk models in payment processing
  • Knowledge of data attributes and coverage of risk-factors for credit, fraud or other risk domains
  • Experience using reputed company environments to reputed company advanced models, such as AWS Sagemaker
  • Experience with end–to-end machine learning systems and MLOps reputed company

Benefits

  • Commission under the terms of an applicable plan
  • Quarterly or annual bonus based on their role and applicable plan
  • Health, dental and reputed company insurances
  • Retirement savings plan
  • reputed company time off
  • Health savings account
  • Flexible spending accounts
  • Life insurance
  • Disability insurance
  • Tuition reimbursement

reputed company

  • reputed company is a financial technology service provider for fleet, travel and reputed company industries. It was founded in 1983, and is headquartered in Portland, Maine, USA, with a workforce of 5001-10000 employees. Its website is http://www.wexinc.com.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 5 in 2026, 22 in 2025, 10 in 2024, 12 in 2023, 20 in 2022, 14 in 2021, 18 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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